Publications

2025

1. ICLR’25

   

   Temporally Sparse Attack for Fooling Large Language Models in Time Series Forecasting

   Fuqiang Liu and Sicong Jiang

   In ICLR 2025 Workshop on Building Trust in Language Models and Applications, 2025

   Bib PDF

   @inproceedings{liu2025temporally,
     title = {Temporally Sparse Attack for Fooling Large Language Models in Time Series Forecasting},
     author = {Liu, Fuqiang and Jiang, Sicong},
     booktitle = {ICLR 2025 Workshop on Building Trust in Language Models and Applications},
     year = {2025},
   }

2. AISTATS’25

   

   Adversarial Vulnerabilities in Large Language Models for Time Series Forecasting

   Fuqiang Liu, Sicong Jiang, Luis Miranda-Moreno, and 2 more authors

   In International Conference on Artificial Intelligence and Statistics, 2025

   Bib PDF Code Website

   @inproceedings{liu2025adversarial,
     title = {Adversarial Vulnerabilities in Large Language Models for Time Series Forecasting},
     author = {Liu, Fuqiang and Jiang, Sicong and Miranda-Moreno, Luis and Choi, Seongjin and Sun, Lijun},
     booktitle = {International Conference on Artificial Intelligence and Statistics},
     pages = {4672--4680},
     year = {2025},
     organization = {PMLR},
   }

2023

1. TNNLS’23

   

   Adversarial danger identification on temporally dynamic graphs

   Fuqiang Liu, Jingbo Tian, Luis Miranda-Moreno, and 1 more author

   IEEE Transactions on Neural Networks and Learning Systems, 2023

   Bib PDF

   @article{liu2023adversarial,
     title = {Adversarial danger identification on temporally dynamic graphs},
     author = {Liu, Fuqiang and Tian, Jingbo and Miranda-Moreno, Luis and Sun, Lijun},
     journal = {IEEE Transactions on Neural Networks and Learning Systems},
     volume = {35},
     number = {4},
     pages = {4744--4755},
     year = {2023},
     publisher = {IEEE},
   }

2022

1. TITS’22

   

   A universal framework of spatiotemporal bias block for long-term traffic forecasting

   Fuqiang Liu, Jiawei Wang, Jingbo Tian, and 3 more authors

   IEEE Transactions on Intelligent Transportation Systems, 2022

   Bib PDF

   @article{liu2022universal,
     title = {A universal framework of spatiotemporal bias block for long-term traffic forecasting},
     author = {Liu, Fuqiang and Wang, Jiawei and Tian, Jingbo and Zhuang, Dingyi and Miranda-Moreno, Luis and Sun, Lijun},
     journal = {IEEE Transactions on Intelligent Transportation Systems},
     volume = {23},
     number = {10},
     pages = {19064--19075},
     year = {2022},
     publisher = {IEEE},
   }

2018

1. DAC’18

   

   Towards accurate and high-speed spiking neuromorphic systems with data quantization-aware deep networks

   Fuqiang Liu and Chenchen Liu

   In Proceedings of the 55th Annual Design Automation Conference, 2018

   Bib PDF

   @inproceedings{liu2018towards,
     title = {Towards accurate and high-speed spiking neuromorphic systems with data quantization-aware deep networks},
     author = {Liu, Fuqiang and Liu, Chenchen},
     booktitle = {Proceedings of the 55th Annual Design Automation Conference},
     pages = {1--6},
     year = {2018},
     organization = {Association for Computing Machinery},
   }